Magic Software Enterprises (RMTHF) Exchange Rate Effect (2016 - 2025)
Magic Software Enterprises' Exchange Rate Effect came in at $581,000 for Q3 2025, down 57.6% from $1.37 million a year earlier and down 89.7% from the prior quarter.
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Analysis
Magic Software Enterprises (RMTHF) Exchange Rate Effect (2016 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 30, 2025, Magic Software Enterprises reported Exchange Rate Effect of $6.49 million, up 233.2% year-over-year; for FY2024, it came in at -$240,000.
- Going back by year, Exchange Rate Effect was -$1.2 million in FY2023, -$8.91 million in FY2022, -$248,000 in FY2021 and $3.17 million in FY2020 (+151.1%).
- The five-year range for quarterly Exchange Rate Effect is -$5.2 million (Q2 2022) to $5.63 million (Q2 2025).
- Business Quant data shows RMTHF's Exchange Rate Effect at $5.63 million (Q2 2025), $43,000 (Q1 2025) and $232,000 (Q4 2024) in the three quarters before Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 292,000.00 |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 11.00 Mn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -43.01 Mn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | -75.00 Mn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -24.10 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | -11.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -518,000.00 |
| 10 | Magic Software Enterprises | 1.60 Bn | 1.21 Bn | 44.21 Mn | 581,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 581,000.00 |
| Jun 30, 2025 | 5.63 Mn |
| Mar 31, 2025 | 43,000.00 |
| Dec 31, 2024 | 232,000.00 |
| Sep 30, 2024 | 1.37 Mn |
| Jun 30, 2024 | -718,000.00 |
| Mar 31, 2024 | -1.12 Mn |
| Dec 31, 2023 | 2.42 Mn |
| Sep 30, 2023 | -500,000.00 |
| Jun 30, 2023 | -1.53 Mn |
| Mar 31, 2023 | -1.59 Mn |
| Dec 31, 2022 | -3.09 Mn |
| Sep 30, 2022 | 459,000.00 |
| Jun 30, 2022 | -5.20 Mn |
| Mar 31, 2022 | -1.08 Mn |
| Dec 31, 2021 | 889,000.00 |
| Sep 30, 2021 | -887,000.00 |
| Jun 30, 2021 | 933,000.00 |
| Mar 31, 2021 | -1.18 Mn |
| Dec 31, 2020 | 3.64 Mn |
API Access
Magic Software Enterprises Exchange Rate Effect API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=exchange-rate-effect&ticker=RMTHF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "RMTHF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=exchange-rate-effect&ticker=RMTHF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();